Fundamentals of Business Intelligence (FBI) Practice Exam

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How does Deresiewicz characterize the impact of beliefs on data selection?

They have no impact
They lead to selections grounded in truth
They shape which data is considered relevant
They only influence emotional responses

The correct answer is: They shape which data is considered relevant

Deresiewicz argues that beliefs significantly shape the lens through which data is viewed and selected. This means that individuals' preconceived notions and convictions play a crucial role in determining which data they deem relevant or important. This perspective emphasizes that data is not merely objective information; rather, it is often influenced by subjective interpretations and biases that stem from one's beliefs. This shaping effect can lead individuals or organizations to prioritize certain data points while neglecting others that may present a more comprehensive or contradictory picture. The notion that beliefs shape data selection helps to underscore the importance of being aware of personal and organizational biases in the decision-making process. Recognizing how beliefs filter information can aid in promoting a more balanced approach to data analysis, ensuring that decisions are informed by a broader range of perspectives and evidence rather than being narrowly focused on pre-existing beliefs.